def main():
all_metrics = discover.DiscoverMetrics(
['/tracing/metrics/all_metrics.html'])
parser = argparse.ArgumentParser(
description='Runs metrics on a local trace')
parser.add_argument('--local-trace-path', type=str,
help='The local path to the trace file')
parser.add_argument('--cloud-trace-link', type=str,
help=('Cloud link from where the local trace file was '
'downloaded from'))
parser.add_argument('--metric-name', type=str,
help=('Function name of registered metric '
'(not filename.) Available metrics are: %s' %
', '.join(all_metrics)))
parser.add_argument('--output-csv', default='results', type=str,
help='Output CSV file path')
args = parser.parse_args()
trace_size_in_mib = os.path.getsize(args.local_trace_path) / (2 ** 20)
# Bails out on trace that are too big. See crbug.com/812631 for more details.
if trace_size_in_mib > 400:
print('Trace size is too big: %s MiB' % trace_size_in_mib)
return 1
logging.warning('Starting to compute metrics on trace')
start = time.time()
mre_result = metric_runner.RunMetric(
args.local_trace_path, [args.metric_name], {},
report_progress=False,
canonical_url=args.cloud_trace_link)
logging.warning('Processing resulting traces took %.3f seconds' % (
time.time() - start))
for f in mre_result.failures:
print('Running metric failed:')
print(f.stack)
return 1
with tempfile.NamedTemporaryFile() as temp:
json.dump(mre_result.pairs.get('histograms', []), temp, indent=2,
sort_keys=True, separators=(',', ': '))
temp.flush()
result = histograms_to_csv.HistogramsToCsv(temp.name)
if result.returncode != 0:
print('histograms_to_csv.HistogramsToCsv returned %d' % result.returncode)
return result.returncode
else:
with open(args.output_csv, 'w') as f:
f.write(result.stdout.rstrip())
print('Output CSV created in file://' + args.output_csv)
def Format(self, page_test_results):
histograms = page_test_results.AsHistogramDicts()
file_descriptor, json_path = tempfile.mkstemp()
os.close(file_descriptor)
json.dump(histograms, file(json_path, 'w'))
vinn_result = histograms_to_csv.HistogramsToCsv(json_path)
dicts = _ReadCsv(vinn_result.stdout)
self._output_stream.seek(0)
if not self._reset_results:
dicts += _ReadCsv(self._output_stream.read())
self._output_stream.seek(0)
_WriteCsv(dicts, self._output_stream)
self._output_stream.truncate()
def ProcessHistogramDicts(histogram_dicts, options):
"""Convert histogram dicts to CSV and write output in output_dir."""
with tempfile_ext.NamedTemporaryFile() as hist_file:
json.dump(histogram_dicts, hist_file)
hist_file.close()
vinn_result = histograms_to_csv.HistogramsToCsv(hist_file.name)
csv_dicts = _ReadCsv(vinn_result.stdout.splitlines())
output_file = os.path.join(options.output_dir, OUTPUT_FILENAME)
if not options.reset_results and os.path.isfile(output_file):
with open(output_file) as input_stream:
csv_dicts += _ReadCsv(input_stream)
with open(output_file, 'w') as output_stream:
_WriteCsv(csv_dicts, output_stream)
